Application of Maximum Likelihood Principal Components Regression to Fluorescence Emission Spectra

By Schreyer Suzanne K.   Bidinosti Michael   Wentzell Peter D.  

Applied Spectroscopy, Vol. 56, Iss. 6, 2002-06 ,pp. : 789-796

Society for Applied Spectroscopy

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Comparison of Prediction- and Correlation-Based Methods to Select the Best Subset of Principal Components for Principal Component Regression and Detect Outlying Objects

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Applied Spectroscopy, Vol. 52, Iss. 11, 1998-11 ,pp. : 1425-1434

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Wavelet multiscale regression from the perspective of data fusion: new conceptual approaches

By Liu Yang  

Analytical and Bioanalytical Chemistry, Vol. 380, Iss. 3, 2004-10 ,pp. : 445-452

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A Gaussian Process Data Modelling and Maximum Likelihood Data Fusion Method for Multi-Sensor CMM Measurement of Freeform Surfaces

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Applied Sciences, Vol. 6, Iss. 12, 2016-12 ,pp. : 409-409

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Quantification of Textile Dyes in Industrial Effluent Using UV-Vis Spectrophotometry Combined with Principal Components Regression

By Barreto Wagner Jose   Giancoli Barreto Sonia   Scarminio Ieda Spacino   Inoue Fabiana  

Analytical Letters, Vol. 43, Iss. 5, 2010-01 ,pp. : 814-822

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